Instructions to use WebOrganizer/TopicClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WebOrganizer/TopicClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WebOrganizer/TopicClassifier", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("WebOrganizer/TopicClassifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from WebOrganizer/TopicClassifier: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/WebOrganizer/TopicClassifier/resolve/main/tokenizer.json
- Command line
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hf download hf://WebOrganizer/TopicClassifier/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/WebOrganizer/TopicClassifier/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.